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Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization

Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting meth...

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Autores principales: Nguyen-Quang, Trung, Bui-Quang, Minh, Pham-Van, Thinh, Le-Van, Nhan, Nguyen-Hoang, Khanh, Nguyen-Minh, Duc, Phung-Thi, Tinh, Le-Viet, Anh, Tran-Ha Minh, Duc, Nguyen-Tien, Dat, Hoang-Le, Tuan-Anh, Truong-Ngoc, Minh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622188/
https://www.ncbi.nlm.nih.gov/pubmed/37928250
http://dx.doi.org/10.1155/2023/1465773
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author Nguyen-Quang, Trung
Bui-Quang, Minh
Pham-Van, Thinh
Le-Van, Nhan
Nguyen-Hoang, Khanh
Nguyen-Minh, Duc
Phung-Thi, Tinh
Le-Viet, Anh
Tran-Ha Minh, Duc
Nguyen-Tien, Dat
Hoang-Le, Tuan-Anh
Truong-Ngoc, Minh
author_facet Nguyen-Quang, Trung
Bui-Quang, Minh
Pham-Van, Thinh
Le-Van, Nhan
Nguyen-Hoang, Khanh
Nguyen-Minh, Duc
Phung-Thi, Tinh
Le-Viet, Anh
Tran-Ha Minh, Duc
Nguyen-Tien, Dat
Hoang-Le, Tuan-Anh
Truong-Ngoc, Minh
author_sort Nguyen-Quang, Trung
collection PubMed
description Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including (7)Li, (11)B, (24)Mg, (27)Al, (44)Ca, (48)Ti, (51)V, (52)Cr, (55)Mn, (57)Fe, (60)Ni, (63)Cu, (66)Zn, (93)Nb, (98)Mo, (111)Cd, (115)In, (121)Sb, (138)Ba, (208)Pb, and (209)Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts.
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spelling pubmed-106221882023-11-03 Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization Nguyen-Quang, Trung Bui-Quang, Minh Pham-Van, Thinh Le-Van, Nhan Nguyen-Hoang, Khanh Nguyen-Minh, Duc Phung-Thi, Tinh Le-Viet, Anh Tran-Ha Minh, Duc Nguyen-Tien, Dat Hoang-Le, Tuan-Anh Truong-Ngoc, Minh J Anal Methods Chem Research Article Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including (7)Li, (11)B, (24)Mg, (27)Al, (44)Ca, (48)Ti, (51)V, (52)Cr, (55)Mn, (57)Fe, (60)Ni, (63)Cu, (66)Zn, (93)Nb, (98)Mo, (111)Cd, (115)In, (121)Sb, (138)Ba, (208)Pb, and (209)Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts. Hindawi 2023-10-26 /pmc/articles/PMC10622188/ /pubmed/37928250 http://dx.doi.org/10.1155/2023/1465773 Text en Copyright © 2023 Trung Nguyen-Quang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nguyen-Quang, Trung
Bui-Quang, Minh
Pham-Van, Thinh
Le-Van, Nhan
Nguyen-Hoang, Khanh
Nguyen-Minh, Duc
Phung-Thi, Tinh
Le-Viet, Anh
Tran-Ha Minh, Duc
Nguyen-Tien, Dat
Hoang-Le, Tuan-Anh
Truong-Ngoc, Minh
Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title_full Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title_fullStr Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title_full_unstemmed Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title_short Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
title_sort classification of vietnamese cashew nut (anacardium occidentale l.) products using statistical algorithms based on icp/ms data: a study of food categorization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622188/
https://www.ncbi.nlm.nih.gov/pubmed/37928250
http://dx.doi.org/10.1155/2023/1465773
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